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Background: Buprenorphine provides an important option for individuals with opioid dependence who are unwilling or unable to attend a licensed methadone opioid agonist treatment program to receive opioid agonist therapy (OAT). Little empirical information is available, however, about the extent to which buprenorphine has increased the percentage of opioid dependent individuals receiving OAT, nor to what extent buprenorphine is being used in office based settings., Methods: Using administrative data from the largest Medicaid managed behavioral health organization in a large mid-Atlantic state, we used multivariate regression to examine rates and predictors of opioid agonist use and treatment setting for 14,386 new opioid dependence treatment episodes during 2007-2009., Results: Despite an increase in the use of buprenorphine, the percentage of new treatment episodes involving OAT is unchanged due to a decrease in the percentage of episodes involving methadone. Use of buprenorphine was significantly more common in rural communities, and 64% of buprenorphine use was in office-based settings., Conclusion: Buprenorphine use has increased in recent years, with the greatest use in rural communities and in office based settings. However, the percentage of new opioid dependence treatment episodes involving an opioid agonist is unchanged, suggesting the need for further efforts to increase buprenorphine use among urban populations., (Copyright © 2011. Published by Elsevier Ireland Ltd.)

Homeless veterans have numerous medical and behavioral health problems. Grouping homeless people based on comorbidity patterns may assist in determining severity of illness and triaging health care more effectively. We sought to determine if a finite number of profiles could be identified related to demographic characteristics, living situation, length of homelessness, and referral areas using interview data from 2,733 veterans who were presently or recently homeless. We considered 12 disorders: eye problems, hypertension, cardiovascular problems, COPD/emphysema, tuberculosis, gastrointestinal problems, hepatic disease, neurologic disorders, orthopedic problems, skin problems, and trauma. Ratings were evaluated using cluster analysis. Comparison statistics were used to compare intercluster differences in demographics, homeless situation, and referral recommendations. A four-cluster solution is proposed: generalized illness, hepatic disease, lung disease, and neurologic disorder. Medical health problems are common and heterogeneous in homeless individuals. Classifications of these problems may be useful in planning treatment and predicting outcome.